Sustainable Growth from a Factor Dependence and Technological Progress Perspective: A Case Study of East China

Table 3

Output elasticity of tertiary industry.

Regional growth		K	H1	H2	H3	E	T	Technology progress	Adj. R^2\D. W.
Shanghai −1.50%	Factor resilience	0.604			0.458				0.988
		(9.974)			(4.687)				\2.714
	Factor increase	13.79%			7.94%
	Growth contribution	8.33%			3.64%			−1.01%
	Contribution share	76.01%			33.20%			−9.21%
Jiangsu 6.10%	Factor resilience	0.526	0.383				0.130		0.998
		(50.302)	(42.196)				(10.612)		\2.702
	Factor increase	26.44%	−2.06%				19.24%
	Growth contribution	13.91%	−0.79%				2.51%	−1.63%
	Contribution share	99.32%	−5.64%				17.92%	−11.60%
Zhejiang 3.60%	Factor resilience	0.349		0.503	0.219				0.997
		(21.775)		(29.940)	(7.080)				\2.127
	Factor increase	24.53%		2.13%	11.56%
	Growth contribution	8.57%		1.07%	2.53%			−1.08%
	Contribution share	77.26%		9.67%	22.85%			−9.77%
Anhui 5.26%	Factor resilience	0.152				0.711			0.973
		(5.954)				(25.312)			\1.046
	Factor increase	31.07%				7.18%
	Growth contribution	4.72%				5.11%		1.09%
	Contribution share	43.25%				46.79%		9.96%
Fujian 5.37%	Factor resilience	0.354		0.578	0.083				0.994
		(25.233)		(29.834)	(3.292)				\2.924
	Factor increase	25.91%		2.09%	22.35%
	Growth contribution	9.17%		1.21%	1.86%			−1.89%
	Contribution share	88.63%		11.67%	17.95%			−18.26%
Jiangxi 4.40%	Factor resilience		−0.576			1.362			0.974
			(−8.936)			(25.343)			\1.340
	Factor increase		−1.24%			7.78%
	Growth contribution		0.71%			10.60%		1.08%
	Contribution share		5.75%			85.54%		8.71%
Shandong 5.82%	Factor resilience	0.422		0.492			0.081		0.988
		(18.901)		(20.074)			(3.709)		\1.639
	Factor increase	29.28%		1.88%			19.09%
	Growth contribution	12.37%		0.92%			1.55%	−1.94%
	Contribution share	95.82%		7.15%			12.02%	−14.99%

Note. The interpreted variable is lnG2. , , and are, respectively, significant at 10, 5, and 1 percent levels. The T value is in parentheses.